Senior Platform Engineer

GumGum • Santa Monica, CA

1d • Hybrid

About The Position

GumGum is building a next-generation, AI-powered software development platform, one that makes spec-driven development the default way software gets built across Engineering. We're looking for the Senior Platform Engineer who helps decide what that platform is, then builds it. This is a hands-on, high-ownership role. You'll evaluate the emerging landscape of AI SDLC / spec-driven development frameworks, make the call on what we adopt versus build ourselves, and own the platform end-to-end - from architecture through org-wide rollout. The bar we're building to: 10x faster feature delivery, with a workflow intuitive enough that product managers can author and iterate on specs directly, not just engineers. You'll partner daily with DevOps to wire the platform into our CI/CD and infrastructure, and with our Machine Learning Engineering (MLE) team on the AI/agent layer itself - model choice, context design, guardrails. This role sits at the center of how GumGum Engineering builds software for years to come. Note: GumGum fosters a flexible work environment, offering GumGummers the ability to work either in-office or remotely/from home. However, for occasional in-person collaboration, we kindly ask that this position be located within a 'commutable' distance to our office.

Requirements

• A bachelor's degree in Computer Science, Engineering, or a related field - or equivalent hands-on experience
• 5+ years in platform engineering, developer experience, or a closely related discipline
• Direct, hands-on experience building or driving org-wide adoption of a development platform
• Working knowledge of AWS, Kubernetes, and Python, with enough depth to partner credibly with DevOps and ML Engineering
• A track record of building internal tools and platforms that teams actually adopted, not just shipped
• Strong written and verbal communication - able to pitch an idea, explain a metric to a VP, and win over a skeptical senior engineer, all in the same day
• Strong, opinionated judgment about where AI genuinely speeds up delivery and where it doesn't
• A product mindset and the ability to drive buy-in across DevOps, MLE, Security, and Engineering leadership without relying on mandate

Responsibilities

• Evaluate the AI SDLC / spec-driven development landscape (e.g., GitHub Spec Kit, OpenSpec, BMAD-METHOD) and make the call on whether GumGum adopts or builds its own platform
• Architect the platform end-to-end - spec authoring, agent orchestration, and validation gates - owning the roadmap from prototype to company-wide rollout
• Build the tooling and services that make spec-driven development the default, paved-road workflow for every engineering team
• Instrument the platform to track adoption, delivery velocity, and friction, using that data to shape what gets built next
• Design for self-service, so product managers and other non-engineers can author and iterate on specs on their own
• Partner closely with DevOps to wire the platform into CI/CD, Kubernetes, and deployment infrastructure
• Team up with Machine Learning Engineering on model selection, context design, and agent guardrails, and with Security Engineering on authentication and auditability
• Drive org-wide adoption, building the documentation and training that let new teams pick up the workflow without hand-holding, and track the metrics that prove out a 10x delivery gain

Benefits

• Competitive compensation
• Strong benefits
• Outsized growth opportunity in a fast-scaling company
• Employer-matched 401(k) retirement plan
• Participation in a bonus, commission, or stock incentive program (depending on role)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree